Python for Data Science AI & Development
This self-paced course provides an introduction to Python for data science, AI, and development. It is designed to help beginners gain the skills needed to use Python in their programming and data science projects, taught by an expert. ▼
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Course Feature
Cost:
Free
Provider:
Coursera
Certificate:
Paid Certification
Language:
English
Start Date:
11th Jul, 2023
Course Overview
❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
What does this course tell?
(Please note that the following overview content is from the original platform)
Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher.
This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching. You will use Python libraries such as Pandas, Numpy & Beautiful Soup. You’ll also use Python to perform tasks such as data collection and web scraping with APIs.
You will practice and apply what you learn through hands-on labs using Jupyter Notebooks. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and automating real-world tasks using Python.
This course is suitable for anyone who wants to learn Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps as well as a number of other job roles.What can you get from this course?
We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
What skills and knowledge will you acquire during this course?
This course will provide learners with the skills and knowledge necessary to apply Python to a variety of tasks. Learners will gain an understanding of Python basics and data types, as well as data structures such as lists and tuples. They will also learn logic concepts such as conditions and branching, and use Python libraries such as Pandas, Numpy & Beautiful Soup. Through hands-on labs using Jupyter Notebooks, learners will practice and apply their knowledge to tasks such as data collection and web scraping with APIs. By the end of the course, learners will be comfortable creating basic programs, working with data, and automating real-world tasks using Python. This course is suitable for anyone interested in Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps, as well as a number of other job roles.
How does this course contribute to professional growth?
Python for Data Science AI & Development provides learners with the skills necessary to pursue a career in the ever-growing field of data science and AI. Through hands-on labs and expert instruction, learners will gain an understanding of Python basics and data types, as well as data structures such as lists and tuples. They will also learn logic concepts such as conditions and branching, and use Python libraries such as Pandas, Numpy & Beautiful Soup. By the end of the course, learners will be comfortable creating basic programs, working with data, and automating real-world tasks using Python. This course is suitable for anyone interested in Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps, and provides learners with the skills necessary to apply Python to a variety of tasks, such as machine learning, artificial intelligence, and automation. As such, this course contributes to professional growth by providing learners with the skills and knowledge necessary to pursue a career in the ever-growing field of data science and AI.
Is this course suitable for preparing further education?
Python for Data Science AI & Development is an ideal course for those looking to prepare for further education. It provides learners with an understanding of Python basics and data types, as well as data structures such as lists and tuples. Learners will also gain knowledge of logic concepts such as conditions and branching, and use Python libraries such as Pandas, Numpy & Beautiful Soup. Through hands-on labs using Jupyter Notebooks, learners will practice and apply their knowledge to tasks such as data collection and web scraping with APIs. By the end of the course, learners will be comfortable creating basic programs, working with data, and automating real-world tasks using Python. This course is suitable for anyone interested in Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps, as well as a number of other job roles. Learners will gain the skills necessary to apply Python to a variety of tasks, such as machine learning, artificial intelligence, and automation. With the knowledge gained from this course, learners will be well-equipped to pursue further education in the ever-growing field of data science and AI.
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